%Aigaion2 BibTeX export from Idiap Publications
%Sunday 22 December 2024 04:28:26 AM

@INPROCEEDINGS{chen-m2vip01,
         author = {Chen, Datong and Shearer, Kim and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          month = {8},
          title = {{V}ideo {OCR} for {S}port {V}ideo Annotation and {R}etrieval},
      booktitle = {Proceedings of the 8th {IEEE} International Conference on Mechatronics and Machine Vision in Practice},
           year = {2001},
    institution = {IDIAP},
        address = {Hong Kong SAR, China},
           note = {Published in International Conference on Mechatronics and Machine Vision in Practice, Hong Kong SAR, China, Aug. 27-29, 2001},
       crossref = {chen-rr-01-28},
       abstract = {This paper presents a video OCR system that automatically extracts closed captions from video frames as keywords (or as we called "cues") for building annotations of sport videos. In this system, text regions that contain closed captions are first identified using support vector machines (SVMs). We then enhance the identified text regions by using two groups of asymmetric filters and recognize them using commercial OCR software package. The resulting captions are recorded as cues in XML format for video annotation and retrieval task.},
            pdf = {https://publications.idiap.ch/attachments/reports/2001/m2vip.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2001/m2vip.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{chen-rr-01-28,
         author = {Chen, Datong and Bourlard, Herv{\'{e}}},
       projects = {Idiap},
          month = {8},
          title = {{V}ideo {OCR} for {S}port {V}ideo Annotation and {R}etrieval},
           type = {Idiap-RR},
         number = {Idiap-RR-28-2001},
           year = {2001},
    institution = {IDIAP},
           note = {Published in Proceedings of the 8th International Conference on Mechatronics and Machine Vision in Practice},
       abstract = {This paper presents a video OCR system that automatically extracts closed captions from video frames as keywords (or as we called "cues") for building annotations of sport videos. In this system, text regions that contain closed captions are first identified using support vector machines (SVMs). We then enhance the identified text regions by using two groups of asymmetric filters and recognize them using commercial OCR software package. The resulting captions are recorded as cues in XML format for video annotation and retrieval task.},
            pdf = {https://publications.idiap.ch/attachments/reports/2001/rr01-28.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2001/rr-01-28.ps.gz},
ipdmembership={vision},
}